Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world…

Cross-sectionalSleep advances : a journal of the Sleep Research Society· 2026

Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems.

Drew Cooper, Tebbe Ubben, Christine Knoll … Katarina Braune

EndocrinologyCross-sectionalClinical practiceQ2IF 1.9

Many automated insulin delivery users still experience poor sleep.

Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems.

Drew Cooper … Katarina Braune

Sleep advances · 2026

Background

STUDY OBJECTIVES: Sleep disturbances are common in people with diabetes, yet their relationship to automated insulin delivery (automated insulin delivery) use has not been well described in large, real-world cohorts.

Purpose

Sleep disturbances are common in people with diabetes, yet their relationship to automated insulin delivery (automated insulin delivery) use has not been well described in large, real-world cohorts.

Methods

We conducted a cross-sectional analysis of 529 adults from the OPEN Project (2020-2023).

Results

43%

of people using automated insulin delivery, this many had poor sleep quality

More results

13 [IQR 8-19], p < .001) than non-users.

Women reported worse Pittsburgh Sleep Quality Index and Hypoglycemia Fear Survey-II scores than men (both p < .001).

Diabetes-related causes of sleep disruption were more common among non-users ( p < .05).

More results

Pittsburgh Sleep Quality Index and Hypoglycemia Fear Survey-II scores correlated with HbA1c in the subsample, but associations with continuous glucose monitoring metrics were not significant.

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Conclusion · 1 of 2

Adults using automated insulin delivery systems reported better sleep quality and lower fear of hypoglycemia than those managing diabetes without automation, yet a large proportion of all participants continued to experience poor sleep.

Conclusion · 2 of 2

Diabetes-related nocturnal disruptions remained common among non-users, suggesting that automated insulin delivery may alleviate-but not eliminate-the nighttime diabetes burden.

Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems.

Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems.

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